Optimal Planning on Reactive Power Compensation of Distribution Network Based on Back/Forward Sweep Method and Tabu Search Algorithm
This paper proposes the optimization method on reactive power compensation of distribution network. The objective is that total loss difference between before being compensated and after should get maximum. The method adopts back/forward sweep method for calculating power flow to obtain total active...
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| Published in | Applied Mechanics and Materials Vol. 672-674; no. Renewable Energy and Power Technology II; pp. 1132 - 1136 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Zurich
Trans Tech Publications Ltd
01.10.2014
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9783038352860 3038352861 |
| ISSN | 1660-9336 1662-7482 1662-7482 |
| DOI | 10.4028/www.scientific.net/AMM.672-674.1132 |
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| Summary: | This paper proposes the optimization method on reactive power compensation of distribution network. The objective is that total loss difference between before being compensated and after should get maximum. The method adopts back/forward sweep method for calculating power flow to obtain total active network loss. Then global neighborhood searching strategy and aspiration criterion for fixed parallel capacitor are established by tabu search algorithm. The optimal installation location and compensation capacity of fixed parallel capacitor are determined. Optimizing simulation on a 34 nodes distribution system is realized, and optimal planning scheme is obtained. Results show that the proposed method is feasible and effective in optimal planning on reactive power compensation of distribution network. |
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| Bibliography: | Selected, peer reviewed papers from the 2014 2nd International Conference on Renewable Energy and Environmental Technology (REET 2014), August 19-20, 2014, Dalian, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISBN: | 9783038352860 3038352861 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.672-674.1132 |